Job Description
As a Trainee Data Scientist, you’ll be instrumental in providing analytical solutions for Retail Bank Marketing and Risk Analytics in India and the Middle East. You’ll work closely with clients and internal teams to deliver actionable data insights that help consumers manage their financial well-being.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to predict credit risk, customer behavior, and fraud patterns.
• Collaborate with cross-functional teams to translate business requirements into actionable data insights.
• Perform exploratory data analysis, feature engineering, and model evaluation.
• Ensure data integrity through thorough data cleaning and validation processes.
• Stay updated with the latest advancements in data science and apply them to solve complex business problems.

Required Qualifications

• Proficiency in Statistical and Machine Learning Techniques: Solid understanding of statistical modeling and machine learning algorithms (regression, classification, clustering).
• Data Manipulation and Analysis: Expertise in SQL, Python, and data manipulation libraries (Pandas, NumPy) for cleaning and analyzing large datasets.
• Problem-solving Skills: Strong ability to break down complex problems and derive actionable insights from data.
• Communication Skills: Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

Preferred Qualifications

• Domain Knowledge: Understanding of the credit industry, risk modeling, and fraud detection.
• Passion for Data: A genuine interest in exploring data, uncovering insights, and experimenting with new methodologies.
• Business Acumen: Ability to connect data insights to business outcomes and propose data-driven solutions.
• Innovation & Creativity: Ability to explore new technologies and approaches to solve problems.
• Team Collaboration: Strong interpersonal skills and the ability to work effectively in a collaborative environment.

Why Join Equifax?

• Hybrid work environment with comprehensive compensation and healthcare packages.
• Attractive paid time off.
• Organizational growth potential through online learning platforms and guided career tracks.

Eligible Batch: 2025, 2026

Technical Skills:
Data Science, Machine Learning, Statistical Modeling, SQL, Python, Pandas, NumPy, Risk Analytics, Credit Risk, Fraud Detection, Data Manipulation, Data Analysis, Business Acumen, Problem-Solving, Communication Skills